一种自适应多目标细菌群优化算法

2012 8th International Conference on Natural Computation Pub Date : 2012-05-29 DOI:10.1109/ICNC.2012.6234713

Xin Xu, Yanheng Liu, Aimin Wang, G. Wang, Huiling Chen

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引用次数: 0

摘要

针对多目标问题，提出了一种自适应多目标菌群优化算法。该方法实现了多目标优化问题的Pareto最优集搜索。AMBSO与MBFO在五个ZDT数值基准测试套件中进行了比较，涉及两项性能指标:代际距离和多样性指标。仿真结果表明，该算法能够找到较好的Pareto前解。

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An adaptive multi-objective bacterial swarm optimzer

This paper proposes an adaptive multi-objective bacterial swarm optimizer (AMBSO) for multi-objective problems. The proposed AMBSO method implements the search for Pareto optimal set of multi-objective optimization problems. The AMBSO has been compared with the MBFO over a test suite of five ZDT numerical benchmarks with respect to the two performance measures: Generational Distance and Diversity Measure. The simulation results show that the AMBSO is able to find a much better Pareto front solutions.

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来源期刊

2012 8th International Conference on Natural Computation

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